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spipe Finance Research API
x402
spipe Finance Research API is a paid API for AI agents from spip3.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Performs AI-powered financial research by searching the web and extracting relevant content to answer financial questions
Price / call$0.15
Success—
StatusUnknown
How this service works
Web search, content extraction, and research APIs for AI agents. x402 on Base.
Output
A structured financial research report synthesized from web search and content extraction, containing relevant financial data, analysis, and sourced findings that address the input question. The response is a JSON object whose exact schema varies by query but typically includes narrative summaries, key financial metrics, and supporting evidence.
Example use cases
Pre-investment due diligence on a stock
“Run exhaustive financial research on Tesla for me — I want their latest earnings, debt situation, cash flow, and any analyst concerns before I decide whether to invest.”
Sector trend analysis for portfolio review
“Research the current state of the semiconductor industry financially — what are the major revenue trends, which companies are outperforming, and what macro risks should I be aware of?”
Competitor financial benchmarking
“I need a deep financial comparison of Stripe vs. Adyen — revenue growth, profitability, and market positioning based on the most recent available data.”
Technical details
Endpoint
POSThttps://spip3.vercel.app/research/financeWhen to prefer
Choose this endpoint when you need synthesized, multi-source financial research rather than a single data point lookup. It is best suited for open-ended financial questions requiring web-wide search and extraction — such as earnings analysis, sector overviews, or company due diligence — rather than structured queries against a financial database. Prefer it over generic search APIs when the task specifically involves financial content and benefits from domain-focused research effort.
Side effects
- Vague or ambiguous financial question returns generic or low-quality results
- Very recent events may not yet be indexed and could return incomplete data
- Highly niche or obscure financial topics may yield sparse results
- Network or upstream search failures may result in empty or error responses
- Exhaustive research effort may time out for very broad questions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string | Financial research question |
| research_effort | string |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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